Norwegian version
Stefano Nichele

Stefano Nichele

About

Research Interests:
- Biologically-Inspired Artificial Intelligence
- Artificial Life and Complex Systems
- Evo-Devo and Cellular Automata
- Evolutionary Robotics
- Biological and Artificial Neural Networks
- Computational Neuroscience

Living Technology Lab: visit http://www.nichele.eu/lab.html

Short CV
2021 - now: Professor of Data Science, OsloMet, Oslo, Norway
2020 - now: Adjunct Research Scientist, Simula Metropolitan, Oslo, Norway
2017 - 2021: Associate Professor, OsloMet (formerly HiOA), Oslo, Norway
2014 - 2017: Researcher, NTNU, Trondheim, Norway
2016: Visiting Researcher at Robotics, Evolution and Art Lab (REAL), ITU, Copenhagen, Denmark
2010 - 2014: PhD in Computer Science, NTNU, Trondheim, Norway
2009: MSc in Computer Science, Univerity of Insubria, Varese, Italy

Updated info on projects: http://www.nichele.eu/

Research projects

Scientific publications

Nadizar, Giorgia; Medvet, Eric; Huse Ramstad, Ola; Nichele, Stefano; Pellegrino, Felice Andrea; Zullich, Marco (2022). Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. Knowledge engineering review (Print) . Vol. 37.
https://www.cambridge.org/core/journals/knowledge-...

Farner, Jørgen Jensen; Weydahl, Håkon; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano; Heiney, Kristine Anne (2021). Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity. Haddow, Pauline (Ed.). IEEE Symposium Series on Computational Intelligence 2021. KAPITTEL. IEEE Press.
https://hdl.handle.net/11250/2981845

Pontes Filho, Sidney; Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (2021). A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. Arai, Kohei (Ed.). Intelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. Artikkel. p. 549-558. Springer Nature.

Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (2021). The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. Cejkova, Jitka; Holler, Silvia; Soros, Lisa; Witkowski, Olaf (Ed.). ALIFE 2021: Proceedings of the Artificial Life Conference 2021. Kapittel. p. 292-300. MIT Press.

Nadizar, Giorgia; Medvet, Eric; Pellegrino, Felice Andrea; Zullich, Marco; Nichele, Stefano (2021). On the effects of pruning on evolved neural controllers for soft robots. Chicano, Francisco (Ed.). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. NEWK. p. 1744-1752. Association for Computing Machinery (ACM).
https://dl.acm.org/doi/pdf/10.1145/3449726.3463161

Talamini, Jacopo; Medvet, Eric; Nichele, Stefano (2021). Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots. Frontiers in Robotics and AI . Vol. 8.
https://www.frontiersin.org/articles/10.3389/frobt...

Heiney, Kristine Anne; Valderhaug, Vibeke Devold; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2021). Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. International Journal of Unconventional Computing . Vol. 16.
https://www.oldcitypublishing.com/journals/ijuc-ho...

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2021). Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks. American Journal of Physiology - Cell Physiology . Vol. 320.

Heiney, Kristine; Huse Ramstad, Ola; Fiskum, Vegard; Christiansen, Nicholas; Sandvig, Axel; Nichele, Stefano; Sandvig, Ioanna (2021). Criticality, connectivity, and neural disorder: A multifaceted approach to neural computation. Frontiers in Computational Neuroscience . Vol. 15:611183.
https://hdl.handle.net/11250/2728005

Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis (2020). Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. NN, NN (Ed.). RACS '20: Proceedings of the International Conference on Research in Adaptive and Convergent Systems. Research-article. p. 161-166. Association for Computing Machinery (ACM).
https://hdl.handle.net/11250/2729788

Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (2020). Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Information Fusion . Vol. 59.

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.). Applications of Evolutionary Computation. Mangler. p. 133-148. Springer.
https://hdl.handle.net/11250/2724664

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics .
https://hdl.handle.net/11250/2657791

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Criticality as a measure of developing proteinopathy in engineered human neural networks. 22 p. BioRxiv.
https://hdl.handle.net/11250/2735243

Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks. 27 p. BioRxiv.
https://hdl.handle.net/11250/2735246

Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Neuromorphic Cognitive Computing (SNCC). p. 2360-2366. IEEE.
http://hdl.handle.net/11250/2644970

Heiney, Kristine; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2020). Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Artificial Life (ALIFE). p. 246-253. IEEE.
https://ieeexplore.ieee.org/document/9002693

Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 410-416. IEEE. 10.1109/SSCI44817.2019.9002997

Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 403-408. IEEE. 10.1109/SSCI44817.2019.9003057

Berg, Joachim; Berggren, Nils Gustav Andreas; Borgeteien, Sivert; Jahren, Christian; Sajid, Arqam; Nichele, Stefano (2019). Evolved Art with Transparent, Overlapping, and Geometric Shapes. Bach, Kerstin; Ruocco, Massimiliano (Ed.). Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. 1. p. 3-15. Springer.

Hanssen, Anders Braarud; Nichele, Stefano (2019). Ethics of Artificial Intelligence Demarcations. Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. 13. p. 133-142. Springer.

Bergaust, Kristin; Nichele, Stefano (2019). "FeLT- The Futures of Living Technologies". Electronic Workshops in Computing (eWiC) .

Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.
https://hdl.handle.net/11250/2677637

Roen, Haakon Haraldsen; Varankian, Vako; Nichele, Stefano; Bergaust, Kristin (2019). Gathering of the Hive: Investigating the clustering behaviour of honeybees through art and swarm robotics. Fellermann, Harold; Bacardit, Jaume; Goni-Moreno, Angel; Fuchslin, Rudolf (Ed.). ALIFE 2019: Proceedings of the 2019 Artificial Life Conference. 00212. p. 505-506. MIT Press.
https://www.mitpressjournals.org/doi/abs/10.1162/i...

Mora, Simone; Gianni, Francesco Valerio; Nichele, Stefano; Divitini, Monica (2018). Introducing IoT Competencies to First-Year University Students With The Tiles Toolkit. Vreda, Pieterse; Papadopoulos, George Angelos; Stikkolorum, Dave; Passier, Harrie (Ed.). Proceedings of the 7th Computer Science Education Research Conference. Chapter. p. 26-34. ACM Publications.
http://hdl.handle.net/11250/2590457

Hansen, Erik Aaron; Nichele, Stefano; Yazidi, Anis; Haugerud, Hårek; Abolpour Mofrad, Asieh; Alcocer, Alex (2018). Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution. Sundaram, Suresh (Ed.). Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). 18. p. 875-883. IEEE.

Gembala, Bartosz Gembala; Yazidi, Anis; Haugerud, Hårek; Nichele, Stefano (2018). Autonomous configuration of network parameters in operating systems using evolutionary algorithms. NN, NN (Ed.). Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. 1. p. 118-125. Association for Computing Machinery (ACM).

Konkoli, Zoran; Stepney, Susan; Wendin, Goran; Nichele, Stefano; Dale, Matthew (2018). Reservoir Computing: An Engineering Approach. Stepney, Susan; Rasmussen, Steen; Amos, Martyn (Ed.). Computational Matter. 14. Springer.

Konkoli, Zoran; Stepney, Susan; Broersma, Hajo; Dini, Paolo; Nehaniv, Christopher; Nichele, Stefano (2018). Philosophy of Computation. Stepney, Susan; Rasmussen, Steen; Amos, Martyn (Ed.). Computational Matter. 21. Springer.

Nichele, Stefano; Molund, Andreas (2017). Deep learning with cellular automaton-based reservoir computing. Complex Systems . Vol. 26.
https://arxiv.org/pdf/1703.02806.pdf





These publications are obtained from Cristin. The list may be incomplete